(竹北) AI Solutions Engineer-EDA & Infrastructure

Winbond Electronics winbond.com Open · verified Sep 25, 2026

新竹，台灣 Mid-level Solutions & Sales Engineering

At a glance

Mid-level Solutions & Sales Engineering role at Winbond Electronics. 新竹，台灣.

Pay not stated

RoleSolutions & Sales Engineering

SeniorityMid-level

Location新竹，台灣

Role brief

Growth Roles summary, based on the employer's posting.

What you'll do

Build optimized design workflows and simulation environments for IC design engineers
Promote internal AI skills and expand adoption of locally hosted EDA-tool language models
Create AI tools that parse and diagnose EDA, system-error, and installation logs
Use RAG and LLM APIs to create a Layout Verification knowledge base and operations assistant
Train, fine-tune, and quantize open LLMs inside the internal network for engineering and operations needs

What you bring

A bachelor’s degree in electrical, electronic, information, or engineering-related studies
Hands-on Python and Linux Shell Scripting experience for development and system automation
Experience deploying open-source LLMs and implementing RAG in offline or air-gapped environments
You can process logs, text, JSON, and system-status data, backed by a practical GitHub, side, or system-tool project
You have delivered an end-to-end system from server data through local AI or RAG to an automated tool

Who this fits

You’ll suit a hands-on individual contributor role connecting AI models, system data, automation, and EDA workflows. The job is based at the Zhubei office in Hsinchu County, requires advanced English, and includes no management or shift responsibility. Travel is limited to less than one month, with no overseas assignment.

From the employer

作為華邦的(竹北) AI Solutions Engineer-EDA & Infrastructure ，你將開發並建構最佳化的設計流程，提供IC設計工程師最優良的電腦模擬環境。工作內容包含：

【工作內容】
1. 內部 AI 相關知識技能提升與推廣
2. EDA Tool 地端 LLM 建立與使用推廣
3. 系統 Log 智慧分析：開發 EDA Tool 執行 Log、系統 Error Log 與安裝日誌之 AI 自動診斷與 Parsing 工具
4. 整合與復用AI 架構：導入 RAG 與 LLM API，建置 Layout Varification 專屬知識庫與維運助手
5. 地端 Open LLM 微調與優化：針對內部工程與維運需求，於內網環境進行 Open LLM 之 Training / Fine-tuning (SFT, LoRA) 與量化部署

工作地點：竹北辦公室(新竹縣竹北市文興路二段539號)
聘僱性質：全職

【條件要求】

學歷要求：大學
科系要求：電機電子工程相關 │ 資訊工程相關 │ 工程學科類(全部)
相關經驗：不拘
語言能力：英文高級 │ │
管理責任：No
輪班需求：No
出差需求：1個月以下
外派需求：No
其他條件：

[必要條件]
1. 熟悉 Python / Linux Shell Scripting (具備實務開發與系統自動化經驗)
2. 具備地端/離線環境 (Offline/Air-gapped Environment) 之 Open Source LLM 部署與 RAG 實作經驗
3. 具備系統資料處理解析能力 ( Log / Text / JSON / System Status Data )
4. 具備實際專案經驗 ( GitHub / Side project / System tool )
5. 能完成 end-to-end 系統 ( 從 Server Log/資料 → 地端 AI 模型/RAG → 自動化工具 )

[加分條件]
1. 離線/內網環境 LLM 訓練與微調經驗：具備在無外網環境下進行 Open Source LLM (如 LLaMA, Gemma, Qwen) 結合 RAG 之 Training / SFT / LoRA 實務經驗
2. 伺服器與維運工具經驗：熟悉 Linux 伺服器管理、Slurm / LSF 資源調度工具、EDA License Server (FlexLM) 或相關 Server 管理工具
3. 模型部署與在地化加速：熟悉 vLLM, Ollama, TensorRT-LLM 或模型量化 (Quantization / AWQ / GGUF) 技術
4. EDA / CAD 背景：具備 Layout verification 工具實作流程如 DRC/LVS/LPE rule deck 基礎知識